Handbook of Statistics_29B
Sample Surveys: Inference and Analysis
Edited by- Danny Pfeffermann, Department of Statistics, Hebrew University, Israel
- C.R. Rao, The Pennsylvania State University, PA, USA
This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications.
Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 1 deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 2 is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects.
Audience
Researchers and practitioners in sample surveys, Sampling and survey design, Survey processing, Survey applications, Inference from survey data, Informative sampling and theoretical aspects.
Handbook of Statistics
Hardbound, 666 Pages
Published: September 2009
Imprint: North-holland
ISBN: 978-0-444-53438-5
Contents
Part 1. Sampling and Survey Design
Introduction to Part 1
Ch. 1. Introduction to Survey Sampling
Ch. 2. Sampling with Unequal ProbabilitiesCh. 3. Two-Phase Sampling
Ch. 4. Multiple-Frame SurveysCh. 5. Designs for Surveys over Time
Ch. 6. Sampling of Rare PopulationsCh. 7. Design, Conduct, and Analysis of Random-Digit Dialing Surveys
Part 2. Survey ProcessingIntroduction to Part 2
Ch. 8. Nonresponse andWeightingCh. 9. Statistical Data Editing
Ch. 10. Imputation and Inference in the Presence of Missing DataCh. 11. Dealing with Outliers in Survey Data
Ch. 12. Measurement Errors in Sample SurveysCh. 13. Computer Software for Sample Surveys
Ch. 14. Record LinkageCh. 15. Statistical Disclosure Control for Survey Data
Part 3. Survey ApplicationsIntroduction to Part 3
Ch. 16. Sampling and Estimation in Household SurveysCh. 17. Sampling and Estimation in Business Surveys
Ch. 18. Sampling, Data Collection, and Estimation in Agricultural SurveysCh. 19. Sampling and Inference in Environmental Surveys
Ch. 20. Survey Sampling Methods in Marketing Research: A Review of Telephone,Mall Intercept, Panel, andWeb Surveys
Ch. 21. Sample Surveys and CensusesCh. 22. Opinion and Election Polls
Volume 29B: Inference and Analysis
Part 4. Alternative Approaches to Inference fromIntroduction to Part 4
Ch. 23. Model-Based Prediction of Finite Population TotalsCh. 24. Design- and Model-Based Inference for Model Parameters
Ch. 25. CalibrationWeighting: Combining Probability Samples and Linear Prediction ModelsCh. 26. Estimating Functions and Survey Sampling
Ch. 27. Nonparametric and Semiparametric Estimation in Complex SurveysCh. 28. Resampling Methods in Surveys
Ch. 29. Bayesian Developments in Survey SamplingCh. 30. Empirical Likelihood Methods
Part 5. Special Estimation and Inference ProblemsCh. 31. Design-based Methods of Estimation for Domains and Small Areas
Ch. 32. Model-Based Approach to Small Area EstimationCh. 33. Design and Analysis of Surveys Repeated over Time
Ch. 34. The Analysis of Longitudinal SurveysCh. 35. Categorical Data Analysis for Simple and Complex Surveys
Ch. 36. Inference on Distribution Functions and QuantilesCh. 37. Scatterplots with Survey Data
Part 6. Informative Sampling and Theoretical AspectsCh. 38. Population-Based Case-Control Studies
Ch. 39. Inference under Informative SamplingCh. 40. Asymptotics in Finite Population Sampling
Ch. 41. Some Decision-Theoretic Aspects of Finite Population Sampling

